“Universities stand at a turning point. For years, headlines have framed artificial intelligence (AI) as a threat to academic integrity. That narrative, while important, misses the bigger opportunity. Used deliberately and responsibly, AI can strip away administrative burden that slows students down, remove learning friction, and return time to what matters: learning, research, and student success. The current reality is that most universities and institutions operate across a patchwork of systems that aren’t fully connected or integrated. Critical data sits in multiple environments – legacy platforms, faculty-specific systems, spreadsheets, shared drives and point solutions – all supported by monolithic processes that have been layered over time. After decades of bolt-on technology and siloed operations, the institutional data landscape has become fragmented, duplicated and difficult to govern. Yet this complexity also signals the size of the opportunity. Because no university today has fully unified systems, seamlessly connected data or end-to-end intelligent workflows, the path forward is wide open. What is agentic AI? Institutions that begin modernising their platforms now will be best placed to unlock the next frontier: agentic AI that can operate across a connected ecosystem, streamline processes and transform the student and staff experience. Most campuses have dabbled in generative AI – a chatbot here, a summariser there. These early tools provide convenience, but they sit at the edges of the student experience. The next leap is agentic AI. Systems that don’t wait for prompts but act on defined goals, collaborate with other systems and adapt to context. Think less “tool you query” and more “infrastructure you rely on.” The future opportunity for agentic AI is integration across university platforms, understanding institutional policies, and coordinating tasks end to end. It can retrieve information, trigger workflows and make bounded, auditable decisions in real time. Instead of bolting AI onto legacy processes, institutions will soon embed intelligence into the core – where it can deliver reliability, speed and scale. Early adopters are seeing stronger retention and improved staff experience. Picture: iStock/Thapana Onphalai. What does agentic AI make possible? Imagine an experience where intelligence is embedded across the student lifecycle allowing simpler, faster student support. Agentic AI can translate complex rules and multistep processes into plain English guidance through a single conversational interface. Whether a student needs to find the right form, understand census dates, request special consideration or update enrolment details, the entire journey becomes intuitive and immediate. 24/7 access that matches study rhythms Many students complete coursework late at night or around work commitments. They should also be able to resolve administrative tasks at those times. Always-on assistance reduces queues, backlogs and stalled progression. More human time where it counts When AI takes care of navigation and routine transactions, staff can redirect their energy toward deeper engagement – mentoring, academic support, complex case management and student wellbeing. These are the interactions that drive belonging, retention and success. Smarter operations Imagine a future where cross-system workflows across finance, procurement, HR and student management all connect; where information moves efficiently, with reduced errors and accelerated decisions. This streamlining alone could lift institutional productivity without added headcount or workload. When technology carries the administrative load, people lean into empathy, judgement and expertise: the distinctly human strengths that make education transformative. As with any powerful technology, trust is non-negotiable. Universities must retain full control over their data, supported by clear accountability frameworks and rigorous safeguards. A responsible approach to agentic AI requires systems that: operate within institution-defined boundaries log decisions for transparency and audit source information responsibly align with policy, regulation and privacy obligations by design. This is how institutions innovate confidently while protecting the trust of students, staff and the broader community. More on this story: Sector gets first AI pro vice-chancellor | The impact of AI on graduate jobs | Experts react to government artificial intelligence plan We’re only scratching the surface Agentic AI, when integrated into core platforms rather than bolted on top, is already unlocking meaningful gains in efficiency and service quality. Early adopters are seeing stronger retention through more consistent support, improved staff experience from reduced administrative load, and more accessible services for students from all backgrounds. These gains aren’t theoretical – they accumulate with every semester and create long-term competitive advantage. We are on the cusp of a fundamental shift in how universities engage with their communities. Within the next decade, institutions will stop thinking in terms of “finance systems,” “HR systems,” “payroll systems”, or even “student management systems.” Those categories will fade. In their place will be a single intelligent interface – a secure, institution-controlled agentic AI underpinned by a rich knowledge base and purpose-built tools. One place to ask, act and achieve. Stuart MacDonald . Picture: Supplied. The shift to agentic AI will not happen overnight, and it will not happen without foundational change. The institutions that begin modernising now – consolidating data, simplifying processes, and moving to unified SaaS platforms – will be the ones who benefit first and most. The opportunity ahead is not about replacing people or reducing the richness of campus life. It’s about removing noise, reducing burden and elevating the human work that defines universities. Agentic AI will shape the future of higher education. The question is not whether the sector will adopt it, but which universities will be ready to lead it. Stuart MacDonald is chief operating officer of TechnologyOne .
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